A novel methodology to predict monthly municipal water demand based on weather variables scenario
This study provides a novel methodology to predict monthly water demand based on several weather variables scenarios by using combined techniques including discrete wavelet transform, principal component analysis, and particle swarm optimisation. To our knowledge, the adopted approach is the first t...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2022-03-01
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| coleção: | Journal of King Saud University: Engineering Sciences |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1018363920303111 |
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